504 citations · 1.8k across the 20 of their papers we have counts for
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Feature-aware Adaptation and Density Alignment for Crowd Counting in Video Surveillance
Junyu Gao, Yuan Yuan, Qi Wang
With the development of deep neural networks, the performance of crowd counting and pixel-wise density estimation are continually being refreshed. Despite this, there are still two…
SCAR: Spatial-/Channel-wise Attention Regression Networks for Crowd Counting
Junyu Gao, Qi Wang, Yuan Yuan
Recently, crowd counting is a hot topic in crowd analysis. Many CNN-based counting algorithms attain good performance. However, these methods only focus on the local appearance fea…
C^3 Framework: An Open-source PyTorch Code for Crowd Counting
Junyu Gao, Wei Lin, Bin Zhao +3
This technical report attempts to provide efficient and solid kits addressed on the field of crowd counting, which is denoted as Crowd Counting Code Framework (CF). The contrib…
PCC Net: Perspective Crowd Counting via Spatial Convolutional Network
Junyu Gao, Qi Wang, Xuelong Li
Crowd counting from a single image is a challenging task due to high appearance similarity, perspective changes and severe congestion. Many methods only focus on the local appearan…
Embedding Structured Contour and Location Prior in Siamesed Fully Convolutional Networks for Road Detection
Qi Wang, Junyu Gao, Yuan Yuan
Road detection from the perspective of moving vehicles is a challenging issue in autonomous driving. Recently, many deep learning methods spring up for this task because they can e…
A Joint Convolutional Neural Networks and Context Transfer for Street Scenes Labeling
Qi Wang, Junyu Gao, Yuan Yuan
Street scene understanding is an essential task for autonomous driving. One important step towards this direction is scene labeling, which annotates each pixel in the images with a…